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Integrating system dynamics and multi-objective optimisation for manufacturing supply chain analysis
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Production and Automation Engineering)ORCID iD: 0000-0002-0880-2572
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Simulation-Based Optimization)ORCID iD: 0000-0003-0111-1776
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Production and Automation Engineering)
2014 (English)In: International Journal of Manufacturing Research, ISSN 1750-0605, Vol. 9, no 1, p. 27-57Article in journal (Refereed) Published
Abstract [en]

The aim of this paper is to address the dilemma of supply chain management (SCM) within a truly Pareto-based multi-objective context. This is done by introducing an integration of system dynamics and multi-objective optimisation. An extended version of the well-known pedagogical SCMproblem, the Beer Game, originally developed at MIT since the 1960s, has been used as the illustrative example. As will be discussed in the paper, the integrated multi-objective optimisation and system dynamics model has been shown to be very useful for revealing how the parameters in the Beer Game affect the optimality of the three common SCM objectives, namely, the minimisation of inventory cost, backlog cost, and the bullwhip effect.

Place, publisher, year, edition, pages
InderScience Publishers, 2014. Vol. 9, no 1, p. 27-57
Keywords [en]
Multi-objective Optimisation, MOO, System dynamics, Supply chain
National Category
Other Mechanical Engineering
Research subject
Technology; Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-12017DOI: 10.1504/IJMR.2014.059598Scopus ID: 2-s2.0-84897726179OAI: oai:DiVA.org:his-12017DiVA, id: diva2:908820
Available from: 2016-03-03 Created: 2016-03-03 Last updated: 2018-05-07Bibliographically approved

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Integrating system dynamics and multi-objective optimisation for manufacturing supply chain analysis(3130 kB)917 downloads
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Aslam, TehseenNg, Amos H. C.Karlsson, Ingemar

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